Combining every season — this one is larger, give it a moment.
Team reportEgyptian Premier League 2026
ZED FC
A balanced-territory side, moderate-press out of possession, with a moderate attack. Currently #8 of 20 on 11 points (3-2-2, 8:8). Tactical profile below is built from 7 matches of ball-by-ball event data, contextualised against the league.
In one read, what kind of team is ZED FC and how good was the season?
Read. ZED FC currently sit #8 of 20 on 11 points (3W-2D-2L, 1.57 pts/game), scoring 8 and conceding 8 for a goal difference of +0.
On the ball they are a balanced-territory team (50% field tilt, #11 in the league); off it they defend with a moderate-press (#8 of 20 for press intensity).
Across the 7 matches of event data, they create 1.13 xG/game (#11) and concede 1.04 (#10), a net of +0.08 xG/game — the underlying performance matches the actual goal difference.
Season Context — the league table
The question
Where did ZED FC actually finish, and against whom?
The authoritative final table (full season), centred on ZED FC.
#
team
P
W
D
L
GF
GA
GD
Pts
5
Modern Sport FC
7
4
1
2
12
9
+3
13
6
Al-Ittihad Alexandria
7
4
1
2
9
6
+3
13
7
Arab Contractors FC
7
3
2
2
10
6
+4
11
8
ZED FC
7
3
2
2
8
8
+0
11
9
National Bank of Egypt
7
3
1
3
8
8
+0
10
10
Smouha
7
3
1
3
4
4
+0
10
11
Canal SC
7
1
5
1
9
9
+0
8
xG Race — the season, match by match
Expected goals piling up over 7 matches: ZED FC against what their opponents created. A line pulling away upwards is a side creating more than it gives away; the gap at the end is the season’s balance (+0.6 xG). Hover a point for that match.
ZED FCOpponents against ZED FC
Tactical DNA
The football question
In five genes, what is ZED FC's footballing identity?
Each gene is a 0–100 score — the team's league percentile across the metrics that define that phase of play. It distils the whole report into an identity fingerprint: the taller the gene, the more that trait defines them.
55
Build-Up
possession control from the back
42
Progression
moving the ball upfield with threat
55
Creation
manufacturing chances
52
Press
winning the ball high & hard
50
Solidity
resisting the opponent's threat
Genetic identity
ZED FC are defined most by their Build-Up DNA (55/100 · average at possession control from the back), and least by their Progression DNA (42/100). Percentiles vs the 20 teams in the league.
The Playstyle Wheel
Fifteen style metrics across five domains — Possess, Disrupt, Finish, Press, Defend — each a percentile against the rest of the league. Metrics marked ~proxy use the closest available event-data signal where the standard definition needs data this feed doesn't carry (explicit pressure events, offside/keeper-sweep incidents).
Possess
Deep buildup
83%
Possession
58%
Field tilt
38%
Disrupt
Central progression ~proxy
42%
Dribble tendency
38%
Progressive passes
50%
Finish
Final-third patience
17%
Shot quality
71%
Open-play xG
67%
Press
Forward press ~proxy
12%
High regains
17%
Pressing efficiency ~proxy
29%
Defend
Def-mid press ~proxy
29%
High line ~proxy
38%
PAdj defensive actions
33%
ZED FC is defined most by Possess (60% in the league) and weakest on Press (19%). Percentiles vs the 24 teams in the league this season.
In possession
In possession
How they keep the ball, build up, progress, create and finish, and where their attacks die.
How much of the pitch does ZED FC actually control, relative to the rest of the league?
Field tilt = share of final-third touches between the two sides across ZED FC's matches, the standard proxy for territorial dominance. Plotted against points per game for every side in the league — the real question isn't just who controls territory, it's whether that control actually converts into results. Dashed lines mark the league average on each axis; ZED FC highlighted. Hover any dot for the team.
Vision AI Model Insight
ZED FC post 50% field tilt, ranking #11 of 20 in the league — below the league mid-point, spending more of the game defending their own territory than dictating it, and their 1.57 points/game sits above the league-average return — a real disconnect: their territorial control isn't showing up on the scoreboard the way it should.
Passing Network
The question
Who actually plays with whom — the real on-pitch connections, not just average positions?
Every pass linked to its likely receiver (the next same-team touch), aggregated into player-pair combinations at each player's average position. Line width = how often the pair combines; colour = threat generated per pass (blue low → red high). Hover a line for the pair, or click a player to isolate their connections.
width = passes between the paircolour = xT per pass: low → high
Top 10 combinations
Saad ↔ Rabia
74p · 1.9xT
Alaa ↔ Ouka
70p · 0.2xT
Banouby ↔ Alaa
48p · 0.5xT
Ibrahim ↔ Bakri
44p · 0.9xT
Ibrahim ↔ Lotfi
32p · 1.3xT
Adel ↔ Saad
28p · 0.6xT
Ibrahim ↔ Hussein
28p · 0.7xT
Hajij ↔ Banouby
27p · 0.8xT
Bakri ↔ Lotfi
25p · 0.7xT
Rabia ↔ Hajij
21p · 0.5xT
Vision AI Model Insight
Busiest connection: Mostafa Saad ↔ Mohamed Rabia (74 passes). Most dangerous per pass: Mohamed Ibrahim ↔ Ali Lotfi (0.04 xT/pass over 32 passes) — the combination that hurts opponents most when it fires, not just the one used most.
Touch Density — where ZED FC had the ball
Every touch across 70 matches. Brighter means more touches.
Which Zones Do They Attack Through?
The question
Across the whole pitch, where does ZED FC actually do its on-ball work?
Passes on one map, carries (the ball travelling with a player) on the other. Each is binned into the 15 pitch zones (three thirds × five vertical lanes) and shaded by its share of that kind of action; the arrows are the real actions.
Passes
the ball moved by a pass
2801
ACTIONS
Carries
the ball moved with a player
937
ACTIONS
Vision AI Model Insight
Their single busiest zone is the left half-space of the middle third (11.2% of all actions). 64% of actions run through the inside lanes (centre + both half-spaces) versus 36% down the two wings — an inside-dominant, half-space build. By third: 33% defensive, 49% middle, 18% attacking.
Attack Sides
Which channel they attacked through this season: the share of every action made in the opponent’s half, down the left, through the middle and down the right. ZED FC leaned on their left (39%). The bars under the pitch put the league’s share beside theirs.
ZED FC
39%23%38%
League
38%24%38%
Final-Third Entries
Every completed pass or carry that took the ball from outside the final third into it, by the channel it arrived in. ZED FC made 274 this season (39.1 a match); 30% came into the left wing. Longer, bolder arrows mean more entries. Entries by carrying the ball in count as well as completed passes; dribbles are not counted.
Channel
Entries
Per match
Share
League share
Left wing
81
11.6
30%
27%
Left half-space
49
7.0
18%
17%
Centre
32
4.6
12%
15%
Right half-space
38
5.4
14%
16%
Right wing
74
10.6
27%
26%
Build-up2 sections
Build-Up — the pass map
The football question
How does ZED FC progress possession from defence into attack — and who runs it?
Build-up passes grouped into 5 real categories — not the old zone grid, not raw individual lines: CB (passer is a centre-back), Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
939build-up passes attempted
75%completed
33%reach the middle third
3%go long into the final third
Pass types
394CB · 56%
46Long Wide · 7%
7Long Central · 1%
206Wide → FB · 29%
50Central · 7%
CB394 · 56%
Long Wide46 · 7%
Long Central7 · 1%
Wide → FB206 · 29%
Central50 · 7%
◆ Vision AI Insight
ZED FC build predominantly down the left, with Bakri as the fulcrum (135 build-up passes). Only 36% of their build-up passes actually advance a third — the rest is lateral circulation, the hallmark of a possession-controlling side that circulates patiently in midfield before progressing. Their single most-repeated pattern is C def → LHS def (47×).
Pass Explorer
Every pass of ZED FC’s last 7 matches as an arrow, theirs first and the opponents’ with other team, each side attacking left to right (solid = completed, dashed grey = failed). Eight families per team — click any map to open it wide, then filter by channel or third, from one to another (or click a cell of the flow grids), by outcome, half, minute and passer. Channels: right wing, right half-space, centre, left half-space, left wing.
From channel
To channel
From third
To third
Outcome
Minutes
Channel to channel · click a cell
Third to third · click a cell
Progression4 sections
How They Progress — the mechanism
Not just how many progressive passes, but where they start, who plays them, and whether they actually penetrate. 309 progressive passes across 7 matches (44.1/game).
Origin lane
Right wing
27%
Right half-space
18%
Central
11%
Left half-space
18%
Left wing
26%
Progression is right-dominant: 45% right side · 11% central · 44% left.
Who generates it
Mostafa Saad
47 · 15%
Mohamed Rabia
34 · 11%
Tarek Alaa
28 · 9%
Mohamed Ibrahim
26 · 8%
Ahmed El-Saghiri
24 · 8%
Top two — Mostafa Saad & Mohamed Rabia — account for 26% of all progression.
PROGRESSION
44.1 prog passes/game
mostly right
→
PENETRATION
32% reach final third
23% reach the box
→
THREAT
the other 68% is recycled
progress ≠ danger
What came of it.32% of progressive passes reached the final third and 23% the box; the rest was recycled in front of the block. 26% of the progression ran through two players, mostly down the right side.
Which lanes actually create the threat
Share of passes played from each lane against its share of the threat (xT) they add. Efficient = more threat than volume, sterile = lots of the ball, little damage.
Per lane — volume vs threat
Right wingbalanced
Right half-spacebalanced
Centralbalanced
Left half-spacebalanced
Left wingbalanced
Progression — the pass map
The football question
Once ZED FC have the ball in midfield, how do they actually break into the final third — and who carries that job?
Progression passes grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top passer.
1381progression passes attempted
82%completed
18%break into the final third
14%go backward into the defensive third
Pass types
401CB · 35%
51Long Wide · 4%
14Long Central · 1%
540Wide → FB · 48%
129Central · 11%
CB401 · 35%
Long Wide51 · 4%
Long Central14 · 1%
Wide → FB540 · 48%
Central129 · 11%
◆ Vision AI Insight
ZED FC progress predominantly down the left, with El-Saghiri the busiest midfield outlet (118 progression passes). Only 18% of passes that start in midfield actually break the final-third line — the rest (68%) is recycled back into midfield or (14%) played backward, the hallmark of a side that carries progression itself through midfield rather than just passing through it. Their most-repeated pattern is LW mid → LHS mid (72×) — press that lane and midfield progression stalls.
Decision Quality — not all completed passes are equal
A 90% pass completion can hide a sideways habit. Grading every pass by the threat it adds separates value creation from safe circulation.
Excellent (high xT gain)
17%
Progressive
1%
Neutral / sideways
48%
Safe / backward
34%
18% of passes are progressive-or-better; the remaining 82% keep possession without advancing it. A control-first side — safe in build-up, reliant on a few players for the incision.
Where does ZED FC actually progress the ball with their feet, not a pass?
203 progressive carries this season across the whole squad (22% of 937 tracked carries total), grouped into up to 4 spatial patterns by where each carry starts and ends together — not just its origin zone. Median 14m, longest 38m. Most active carrier: Bakri (21). Filter to one player below.
First (62)Second (57)Third (50)Fourth (34)grouped by carry pattern (start + end position), largest group first
startendown goal left, attacking →
Chance creation1 section
Chance Creation — the pass map
The football question
How does ZED FC consistently create dangerous chances — from which zones, and who creates them?
Key passes (the pass immediately before a shot) grouped into 5 real categories: CB, Wide→FB, Central, Long Wide, Long Central. Each gets its own panel below, so nothing competes for attention. Arrow width = volume, labelled with the exact count; hover for the top creator.
Pass types
5CB · 7%
7Long Wide · 10%
13Long Central · 19%
16Wide → FB · 23%
29Central · 41%
Danger Funnel — which service carries threat
Every key pass pooled by where it was played FROM, then drawn with its arrow width set by total xT rather than by count. A zone that produces a lot of cheap balls shrinks; one that produces a few decisive ones dominates. Where this disagrees with the volume map, the volume map is the misleading one.
0 key passes shown● low threat● mid● high threatarrow width = total xT, not count
CB5 · 7%
Long Wide7 · 10%
Long Central13 · 19%
Wide → FB16 · 23%
Central29 · 41%
Who creates — volume × threat
14Saad
6Adel
6Ibrahim
5Banouby
5Nabhan
5Hajij
5Alaa
70key passes #7 of 20
12.6box entries/game #6 of 20
31.4final-3rd entries/game #12 of 20
1.13xG/game #11 of 20
8goals #10 of 20
+0.1finishing vs xG #9 of 20
◆ Vision AI Insight
ZED FC lean left — 49% of their key passes come from that flank and its half-space (34 of 70), most often from Adel (6). They funnel chances into the c of the final third, most often via LHS att → C att (13 key passes, most often from Nabhan). Saad is the primary source overall. They generate 1.13 xG a game and finish it clinical — they beat their xG, led by Ahmed Atef (2G), Ahmed Adel (1G), Rafaat Khalil (1G).
Finishing2 sections
Shot Map
86 shots for 7.9 xG (1.13/game, #11 in the league). Click an area of the box to see who shoots from there; filter by outcome, player or match.
Moderate attack. 12.3 shots/game at 0.092 xG/shot. Box entries 13/game (#6). Threat created 10.4 xT/game (#11).
How Do They Score?
The question
Where do the goals actually come from — open play, dead balls, which foot?
Every goal ZED FC scored across the loaded matches, broken down by how it was created and finished.
By situation
Open play
6 · 75%
Set pieces
2 · 25%
Penalties
0 · 0%
By finish
Right foot
3 · 38%
Left foot
2 · 25%
Header
2 · 25%
Other
1 · 12%
Vision AI Model Insight
8 goals scored. 75% come in open play, but 25% from set pieces — a genuine dead-ball weapon that bypasses the open-play build-up.
When they lose it1 section
Ball-Loss Map — where attacks die
Every turnover has a location and a cause. This is a rate, not a raw count — the share of pass attempts from each zone that end in a turnover, so a zone they simply play through more often doesn't automatically look riskier. Grey cells are real zones with too few attempts to trust a rate.
Loss rate by zone
How they lose it
Incomplete pass — attacking third
155
Failed forward pass
99
Failed take-on
45
Lost in the defensive third
236
Their weakest zone is the left wing in the attacking third: 38% of 120 pass attempts there are lost (45 times). Separately, 24% of all losses happen in the attacking third — a fair share happen deeper, which invites transitions.
Out of possession
Out of possession
How they press, where they win the ball back, and how they concede.
How hard does ZED FC press, where, and does it actually work — beyond a single PPDA number?
A composite Pressing Index built from four event-derived dimensions, each ranked against the league. Not one metric — intensity, height, effectiveness and opponent disruption together. The pitch shows every defensive action (the only five events this data records); the white line is the average height that feeds the score. Toggle by action type below, hover any dot for the player.
42
Pressing Index /100 · average
Intensity42
PPDA, high-press share, high-zone actions
Height55
how high up the pitch they defend
Effectiveness22
high recoveries & high-regain share
Disruption60
opponent completion & progression allowed
Every defensive action & where it happens
Where they win the ball back — by lane
RW
14%
RHS
20%
C
28%
LHS
20%
LW
17%
By third (high / mid / low regain)
Def 64%
Mid 32%
Att 5%
Read
Ranked #8 of 20 for press intensity, this is a mid block. 36% of defensive actions happen in the middle & attacking thirds, at an average height of 29. Of recoveries, 43% are won high up the pitch.
Every pressing metric, ranked in the league
metric
value
rank
meaning
PPDA (opp passes per def action)
—
#8/20
lower = more intense; rank is what matters
Defensive actions / game
83
#15/20
High-press share
10%
#13/20
def actions won high up
Defensive-action height (0–100)
29.3
#9/20
avg pitch height of actions
High recoveries / game
16.9
#16/20
ball won in mid+att third
High-recovery share
43%
#15/20
share of recoveries won high
Opponent completion allowed
75%
#13/20
lower = more disruptive
Opponent progressive allowed
10.1%
#3/20
of opp passes, lower = better
Honest limit — no transition timing
This source has no cross-event clock or possession sequences, so genuine transition metrics — 5-second counterpress, time-to-recover, press→shot within 10s, and xG/xT generated after a high regain — cannot be computed and are deliberately left out rather than estimated. Every number above is a direct read of recorded defensive actions and opponent passes.
Defending the box2 sections
Vulnerability Map — how opponents hurt them
The report flipped: where do opponents create their threat against ZED FC? 252 opponent progressive passes and 86 shots faced (7.3 xG against) across the season.
Opponent threat by lane (attacking into ZED FC)
Right wing
28%
Right half-space
15%
Central
22%
Left half-space
18%
Left wing
18%
Where the danger came from. Opponents generated most of their threat through the right wing (28% of the danger conceded).
How Do They Concede?
The question
Where do the goals against ZED FC actually come from — open play, dead balls, and who supplies them?
Every goal ZED FC conceded across the loaded matches — the opponent's shots in ZED FC's own matches — plus every individual opponent key pass faced, each drawn as its own real arrow (not zone-clustered) with the % share of each zone behind it.
Where the goals go in
Every opponent key pass against them (55 total)
By situation
Open play
4 · 50%
Set pieces
2 · 25%
Penalties
2 · 25%
Vision AI Model Insight
8 goals conceded. 50% come in open play, and 25% from set pieces — a genuine defensive frailty at dead balls to fix on the training ground. 25% are headers — aerial defending is not where the damage comes from. Their supply line runs mainly through the right wing of the attacking third (24% of key passes faced) — that is the zone to shut off.
Context
Shape and tactics
Set pieces, strengths and weaknesses, and who they resemble.
The tactical idea behind each phase of this team's play, written from the same numbers shown above — what they do in build-up, how they progress, where they create, and how they defend it.
How much of the goal threat is manufactured from dead balls — a route to goal that bypasses their open-play mechanism entirely.
Open play
6 g · 6.3 xG
Set pieces
2 g · 1.6 xG
Penalties
0 g
25% of goals come from set pieces (2 of 8), worth 1.6 xG from 19 shots. A genuine set-piece weapon — defend the box seriously.
Where do ZED FC's corners go?
33 corners taken this season, split by which flag they were taken from — arrows from the flag, dots at the delivery point, shaded by % of that side's corners landing in each zone (same treatment as the concede map below). No swing-direction (inswinger/outswinger) data is recorded here, only a start and end point per pass, which cannot show how the ball curved — so this shows what is genuinely knowable: where it lands, and short vs actually delivered. Tap or hover a dot for who took it and the match; filter to one match below and the shading recomputes for just that game.
Right side (15)
Delivered into the box 93%Short 7%
Left side (18)
Delivered into the box 94%Short 6%
Where opponents attack ZED FC from set pieces
10 shots from opponent corners against ZED FC, 2 conceded, split by the flag the corner came from — arrows from the flag, dots where the shot was taken (gold = goal), shaded by the % of that flag's shots in each zone. Tap or hover a shot for who took it, the minute and the match; filter to one match and the shading recomputes for just that game.
Right flag (2)
Shot 2Goals 0
Left flag (8)
Shot 8Goals 2
Tactical Strengths & Weaknesses
Strengths (top-third vs league)
box entries /game — 12.57 (65th pct)
pass retention % — 77.27 (65th pct)
Weaknesses (bottom-third vs league)
none stand out
Style Archetype & Similar Teams
Team archetype: Reactive low-block counter. Their closest stylistic matches in the league (cosine similarity on style metrics) — sides that play a similar way.
Cleopatra FC
86%
National Bank of Egypt
78%
Zamalek SC
70%
Al Ahly FC
64%
Pyramids FC
57%
Performance vs Opponent Styles
The question
Not just how ZED FC results against a high press or a low block — how does their own play actually change?
Every match split into three tiers by how hard that specific opponent pressed (opponent PPDA — lower means a more aggressive press), matching ZED FC's own passing behaviour to the result.
Results
opponent type
goals for/g
goals against/g
points/g
vs high-pressing opponents (2m)
1.00
0.50
2.00
vs mid-block opponents (2m)
2.00
2.00
1.50
vs low-block opponents (3m)
0.67
1.00
1.33
Behaviour — how ZED FC actually play against each
opponent type
retention
directness (long balls)
prog. passes/g
xT/g
box entries/g
vs high-pressing opponents
72%
23%
36
8.9
11.0
vs mid-block opponents
76%
18%
48
10.8
14.5
vs low-block opponents
80%
18%
47
11.2
12.3
Vision AI Model Insight
Facing a high press, retention drops to 72% vs 80% against a low block (8pt lower under pressure), and directness (long-ball share) sits at 23% when pressed vs 18% against a low block — a real style switch: they go noticeably more direct when pressed rather than trying to play through it.
Scouting Summary — the team in brief
In brief. ZED FC are balanced-territory with a moderate-press.
Their attack creates 1.13 xG a game and they concede 1.04 a game.
[Event-data based — no tracking, so off-ball structure and marking scheme need video.]
Who delivers ZED FC’s dead balls and who finishes them this season. 33 corners taken, most by Tarek Alaa (14); 15 shots from corners and free kicks, 2 goals, led by Mohamed Hussein (1 goals, 0.22 xG). “Into the box” counts corners that landed inside the penalty area; free-kick takers are the players who shot from one, because this feed does not mark who delivers the others.
Player
Corners taken
Into the box
Set-piece shots
Goals
xG
Free-kick shots
Penalties
Tarek Alaa
14
13 (93%)
—
—
0.00
—
—
Wajdi Nabhan
—
—
3
—
0.13
3
—
Mostafa Saad
7
6 (86%)
—
—
0.00
—
—
Mohamed Rabia
—
—
2
—
0.27
—
—
Mohamed Hussein
—
—
2
1
0.22
—
—
Rafaat Khalil
—
—
2
—
0.36
—
—
Ahmed El-Saghiri
5
4 (80%)
—
—
0.00
—
—
Marwan Hegy
4
3 (75%)
—
—
0.00
—
—
Mohamed Ibrahim
1
1 (100%)
1
—
0.07
—
—
Omar Khedr
1
1 (100%)
1
—
0.10
—
—
Abdo Gouda
—
—
1
—
0.04
—
—
Abdelrahman El Banouby
—
—
1
—
0.06
—
—
Moussa Mohamed
—
—
1
1
0.15
—
—
Ahmed Atef
—
—
1
—
0.04
—
—
Top Performers
Ranked by Vision AI Score — the same tactical behavioural evaluation each player's own report page shows (min 189 minutes). Coloured chips are that player's strongest capability blocks.
Chance creation leaders — key passes /90 and box entries.
player
pos
min
key P /90
box entries
xT
Mostafa Saad
M
570
2.21
26
9.4
Mohamed Ibrahim
M
332
1.63
8
5.5
Marwane Hajij
M
253
1.78
9
3.2
Tarek Alaa
D
554
0.81
8
5.3
Abdelrahman El Banouby
F
427
1.05
6
2.1
Ahmed El-Saghiri
M
383
0.94
5
6.1
Ahmed Adel
M
327
1.65
2
1.6
Mohamed Rabia
D
469
0.58
4
8.6
Wide Delivery Leaders
Crosses and cutbacks — wingers and full-backs only (by real average position, not the raw D/M position code), ranked by combined volume.
player
pos
min
crosses (completed)
cutbacks (completed)
Mostafa Saad
W
570
11 (45%)
10 (50%)
Ahmed Adel
W
327
3 (33%)
4 (25%)
Tarek Alaa
FB
554
5 (20%)
2 (0%)
Wajdi Nabhan
FB
184
4 (50%)
2 (100%)
Defensive Volume Leaders
Who does the defensive work — tackles, interceptions, recoveries.
player
pos
min
def actions
tackles
intercept
recoveries
Mohamed Rabia
D
469
71
11
9
32
Ali Lotfi
G
630
54
0
0
50
Abdallah Bakri
D
495
50
2
5
16
Mohamed Hussein
D
484
47
8
4
12
Mostafa Saad
M
570
42
12
5
23
Mahmoud Ouka
M
505
40
16
5
16
Ahmed El-Saghiri
M
383
37
5
9
15
Tarek Alaa
D
554
37
4
6
17
Full Squad Data
Every player with 100+ minutes (17 players).
player
pos
apps
min
goals
xG
key P
prog
def
xT
Ali Lotfi
G
7
630
0
0.0
0
12
54
4.0
Mostafa Saad
M
7
570
0
1.6
14
47
42
9.4
Tarek Alaa
D
7
554
0
0.3
5
28
37
5.3
Mahmoud Ouka
M
7
505
0
0.4
4
9
40
2.6
Abdallah Bakri
D
6
495
0
0.0
1
19
50
5.9
Mohamed Hussein
D
7
484
1
0.2
0
21
47
4.9
Mohamed Rabia
D
6
469
0
0.6
3
34
71
8.6
Abdelrahman El Banouby
F
7
427
0
1.5
5
9
13
2.1
Ahmed El-Saghiri
M
5
383
0
0.0
4
24
37
6.1
Mohamed Ibrahim
M
6
332
0
0.1
6
26
30
5.5
Ahmed Adel
M
7
327
1
0.1
6
8
30
1.6
Moussa Mohamed
D
4
284
1
0.1
0
19
30
4.0
Mohamed Ezz
M
4
282
0
0.1
1
4
25
1.3
Marwane Hajij
M
6
253
0
0.2
5
14
9
3.2
Ahmed Atef
F
4
204
2
1.0
2
3
3
1.0
Rafaat Khalil
F
5
199
1
0.7
1
4
6
0.5
Wajdi Nabhan
D
5
184
1
0.7
5
9
13
2.5
Player Role Architecture
The question
Who does what — and what tactical job does each key player actually perform?
The nine most-used players (450+ minutes), each with the role their event fingerprint points to — not just their listed position.
Ali Lotfi
Goalkeeper · Goalkeeper
minutes630
goals · xG0 · 0.0
prog passes /901.7
key passes /900.00
def actions /907.7
pass accuracy77%
Mostafa Saad
Advanced creator · Attacking mid
minutes570
goals · xG0 · 1.6
prog passes /907.4
key passes /902.21
def actions /906.6
pass accuracy74%
Tarek Alaa
Ball-playing defender · Defender
minutes554
goals · xG0 · 0.3
prog passes /904.5
key passes /900.81
def actions /906.0
pass accuracy70%
Mahmoud Ouka
Box-to-box midfielder · Midfielder
minutes505
goals · xG0 · 0.4
prog passes /901.6
key passes /900.71
def actions /907.1
pass accuracy84%
Abdallah Bakri
Stopper / marker · Defender
minutes495
goals · xG0 · 0.0
prog passes /903.5
key passes /900.18
def actions /909.1
pass accuracy81%
Mohamed Hussein
Stopper / marker · Defender
minutes484
goals · xG1 · 0.2
prog passes /903.9
key passes /900.00
def actions /908.7
pass accuracy73%
Mohamed Rabia
Ball-playing defender · Defender
minutes469
goals · xG0 · 0.6
prog passes /906.5
key passes /900.58
def actions /9013.6
pass accuracy80%
Abdelrahman El Banouby
Box-to-box midfielder · Midfielder
minutes427
goals · xG0 · 1.5
prog passes /901.9
key passes /901.05
def actions /902.7
pass accuracy72%
Ahmed El-Saghiri
Box-to-box midfielder · Midfielder
minutes383
goals · xG0 · 0.0
prog passes /905.6
key passes /900.94
def actions /908.7
pass accuracy82%
Recruitment Intelligence — profiles to sign
The question
If you were sporting director, which player profiles would move the needle most?
Each recruitment target is derived directly from the team's weakest areas vs the league — the gap, why it shows in the data, and the profile that closes it.
Need — below-average: progression /game (40th pct)
Sign a progressive passer / ball-carrier to break lines. The data flags this because progression is limited (44.14, 40th percentile vs the league).
Need — below-average: xG created /game (45th pct)
Sign a higher-volume goalscorer or chance creator. The data flags this because the attack under-produces xG (1.13, 45th percentile vs the league).
Need — below-average: field tilt % (45th pct)
Sign a possession-controlling midfielder to win the territorial battle. The data flags this because they get pinned back (49.76, 45th percentile vs the league).